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| import numpy as np | |
| from scipy import linalg, optimize | |
| MAX_ITER = 100 | |
| def group_lasso(X, y, alpha, groups, max_iter=MAX_ITER, rtol=1e-6, | |
| verbose=False): | |
| """ | |
| Linear least-squares with l2/l1 regularization solver. |
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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| # This is a simplified implementation of the LSTM language model (by Graham Neubig) | |
| # | |
| # LSTM Neural Networks for Language Modeling | |
| # Martin Sundermeyer, Ralf Schlüter, Hermann Ney | |
| # InterSpeech 2012 | |
| # | |
| # The structure of the model is extremely simple. At every time step we |